Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 5:00 PM ET (12:00 - 21:00 UTC). We apologize for the inconvenience.
By Topic

Fuzzy neural network design with switching strategy for permanent-magnet synchronous motor speed controller

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)

In this paper, a self-constructing fuzzy neural network controller (SCFNNC) design with switching strategy for permanent-magnet synchronous motor is proposed to track periodic reference input command. The SCFNNC system is a straightforward implementation of fuzzy inference system with five layered neural network structure. This system combines the advantages of the neural networks and fuzzy logic theorem. To increase the on-line learning rate, the switching strategy is proposed to choice a suitable parameter of error term. First, the switching condition is defined by speed error. Next, we will judge whether the switching condition is satisfied through proposed switching regulator. Finally, the switching regulator is back-propagated to the SCFNNC and adjusted the link weights and other parameter. The simulation results for periodic reference trajectories show that the dynamic behavior of the proposed control system is robust with regard to plant parameter variations and external load disturbance.

Published in:

Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on

Date of Conference:

7-10 Oct. 2007